Alexander Lamb

Title: Alexander Lamb and Water Distribution Network Control

Introduction

Alexander Lamb is an inventor based in Lake Forest, California. His work includes a patented approach that applies hybrid reinforcement learning to control a water distribution network.

Latest Patents

Lamb is associated with 1 patent: “Hybrid reinforcement learning (RL) to control a water distribution network.” The invention describes a method and system that use historical network states, residential water demand, tank levels, and energy tariffs to guide operational decisions. A query-based model identifies control points, while a reinforcement learning agent is trained using prior states and rewards that account for tank-level constraints, energy costs, and pump toggles. The agent selects time slots and generates hybrid setpoints, including pump-speed adjustments, to help maintain tank levels, reduce energy costs, and comply with toggle limits.

Career Highlights

Lamb is associated with Autodesk, Inc. His patent work applies machine learning techniques to the practical challenge of managing water infrastructure.

Collaborations

The provided information lists Yuan Zhou and Shu Wang as Lamb’s coworkers.

Conclusion

Alexander Lamb’s patented work combines reinforcement learning and operational constraints to support more efficient control of water distribution networks.